15 hours ago
Responsibilities
- Design, build, and operate internal platform services and CLIs for data modeling workflows.
- Improve reliability and operability through monitoring, incident response patterns, safe rollouts, and runbooks.
- Lead large-scale migrations and deprecations with phased plans, guardrails, and measurable cutover criteria.
- Identify systemic bottlenecks, right-size workloads, and build safeguards for cost and performance.
- Build developer experience through fast feedback loops, golden paths, self-serve workflows, and actionable errors.
- Partner across teams to standardize metadata, access, testing, and promotion patterns while supporting legitimate exceptions.
Requirements
- Design maintainable systems and operate them responsibly in production.
- Demonstrate production ownership, including rollout and rollback planning, impact monitoring, and post-launch follow-through.
- Apply systems thinking involving interfaces, contracts, failure modes, and tradeoffs among correctness, freshness, cost, and complexity.
- Reason about backfills, idempotency, schema evolution, and blast radius across dependent datasets.
- Proficiency with at least one major cloud platform: GCP, AWS, or Azure.
- Preferred experience includes BigQuery, Airflow or Composer, Iceberg or Delta, data lake/lakehouse operations, or large-scale platform migrations.
Tech Stack
Categories
Data EngineeringDevOps
About Shopify
Shopify is a leading global commerce company, providing trusted tools to start, grow, market, and manage a retail business of any size. Shopify makes commerce better for everyone with a platform and services that are engineered for reliability, while delivering a better shopping experience for consumers everywhere. Shopify powers millions of businesses in more than 175 countries and is trusted by brands such as Allbirds, Gymshark, PepsiCo, Staples, and many more. Find all our jobs here: www.shopify.com/careers